This two-volume set LNCS 3290/3291 constitutes the refereed proceedings of the three confederated conferences CoopIS 2004, DOA 2004, and ODBASE 2004 held as OTM 2004 in Agia Napa, Cyprus in October 2004. The 94 revised full papers presented were carefully reviewed and selected from a total of 380 submissions. In accordance with the three OTM 2004 main conferences CoopIS, DOA, and ODBASE, the papers are devoted to interoperability, workflow, and cooperation; distributed objects, infrastructure and enabling technology, and Internet computing; and data and Web semantics.
This two-volume set LNCS 4803/4804 constitutes the refereed proceedings of the five confederated international conferences on Cooperative Information Systems (CoopIS 2007), Distributed Objects and Applications (DOA 2007), Ontologies, Databases and Applications of Semantics (ODBASE 2007), Grid computing, high performAnce and Distributed Applications (GADA 2007), and Information Security (IS 2007) held as OTM 2007 in Vilamoura, Portugal, in November 2007. The 95 revised full and 21 revised short papers presented together with 5 keynote talks were carefully reviewed and selected from a total of 362 submissions. Corresponding with the five OTM 2007 main conferences CoopIS, ODBASE, GADA, and DOA, the papers are organized in topical sections on process analysis and semantics, process modeling, P2P, collaboration, business transactions, dependability and security, middleware and web services, aspects and development tools, mobility and distributed algorithms, frameworks, patterns, and testbeds, ontology mapping, semantic querying, ontology development, learning and text mining, annotation and metadata management, ontology applications, data and storage, networks, collaborative grid environment and scientific grid applications, scheduling, middleware, data analysis, scheduling and management, access control and authentication, intrusion detection, system and services security, network security, malicious code and code security, as well as trust and information management.
This two-volume set LNCS 4805/4806 constitutes the refereed proceedings of 10 international workshops and papers of the OTM Academy Doctoral Consortium held as part of OTM 2007 in Vilamoura, Portugal, in November 2007. The 126 revised full papers presented were carefully reviewed and selected from a total of 241 submissions to the workshops. The first volume begins with 23 additional revised short or poster papers of the OTM 2007 main conferences.
missions in fact also treat an envisaged mutual impact among them. As for the 2002 edition in Irvine, the organizers wanted to stimulate this cross-pollination with a program of shared famous keynote speakers (this year we got Sycara, - ble, Soley and Mylopoulos!), and encouraged multiple attendance by providing authors with free access to another conference or workshop of their choice. We received an even larger number of submissions than last year for the three conferences (360 in total) and the workshops (170 in total). Not only can we therefore again claim a measurable success in attracting a representative volume of scienti?c papers, but such a harvest allowed the program committees of course to compose a high-quality cross-section of worldwide research in the areas covered. In spite of the increased number of submissions, the Program Chairs of the three main conferences decided to accept only approximately the same number of papers for presentation and publication as in 2002 (i. e. , around 1 paper out of every 4–5 submitted). For the workshops, the acceptance rate was about 1 in 2. Also for this reason, we decided to separate the proceedings into two volumes with their own titles, and we are grateful to Springer-Verlag for their collaboration in producing these two books. The reviewing process by the respective program committees was very professional and each paper in the main conferences was reviewed by at least three referees.
The three volume set provides a systematic overview of theories and technique on social network analysis. Volume 3 of the set mainly focuses on the propagation models and evolution rules of information. Information retrieval and dissemination, topic discovery and evolution, algorithms of influence maximization are discussed in detail. It is an essential reference for scientist and professionals in computer science.
This book explains the Linked Data domain by adopting a bottom-up approach: it introduces the fundamental Semantic Web technologies and building blocks, which are then combined into methodologies and end-to-end examples for publishing datasets as Linked Data, and use cases that harness scholarly information and sensor data. It presents how Linked Data is used for web-scale data integration, information management and search. Special emphasis is given to the publication of Linked Data from relational databases as well as from real-time sensor data streams. The authors also trace the transformation from the document-based World Wide Web into a Web of Data. Materializing the Web of Linked Data is addressed to researchers and professionals studying software technologies, tools and approaches that drive the Linked Data ecosystem, and the Web in general.
This book is an introduction to social data analytics along with its challenges and opportunities in the age of Big Data and Artificial Intelligence. It focuses primarily on concepts, techniques and methods for organizing, curating, processing, analyzing, and visualizing big social data: from text to image and video analytics. It provides novel techniques in storytelling with social data to facilitate the knowledge and fact discovery. The book covers a large body of knowledge that will help practitioners and researchers in understanding the underlying concepts, problems, methods, tools and techniques involved in modern social data analytics. It also provides real-world applications of social data analytics, including: Sales and Marketing, Influence Maximization, Situational Awareness, customer success and Segmentation, and performance analysis of the industry. It provides a deep knowledge in social data analytics by comprehensively classifying the current state of research, by describing in-depth techniques and methods, and by highlighting future research directions. Lecturers will find a wealth of material to choose from for a variety of courses, ranging from undergraduate courses in data science to graduate courses in data analytics.
This book constitutes the refereed proceedings of the ACM/IFIP/USENIX 8th International Middleware Conference 2007, held in Newport Beach, CA, USA, in November 2007. The 22 revised full papers presented were carefully reviewed and selected from 108 submissions. The papers are organized in topical sections on component-based middleware, mobile and ubiquitous computing, grid and cluster computing, enhancing communication, resource management, reliability and fault tolerance.
Investigates the nature and history of dynamic processes essential to understanding the need for flexibility and adaptability as well as the requirements to improve solutions.
